Nano Banana Pro — officially Gemini 3 Pro Image — is Google/DeepMind’s new studio-grade image generation and editing model that combines advanced multimodal reasoning, high-fidelity text rendering, multi-image composition, and studio-level creative controls. What is Nano Banana Pro and why should you care? Nano Banana Pro is Google’s newest image-generation and image-editing model — the […]
How to integrate AnythingLLM with CometAPI?
In 2025–2026 the AI tooling landscape continued to consolidate: gateway APIs (like CometAPI) expanded to provide OpenAI-style access to hundreds of models, while end-user LLM apps (like AnythingLLM) continued improving their “Generic OpenAI” provider to let desktop and local-first apps call any OpenAI-compatible endpoint. That makes it straightforward today to route AnythingLLM traffic through CometAPI […]
How to Build a MCP Server in Claude Desktop — a practical guide
Since Anthropic’s public introduction of the Model Context Protocol (MCP) on November 25, 2024, MCP has moved quickly from concept to practical ecosystem: an open specification and multiple reference servers are available, community implementations (memory servers, filesystem access, web fetchers) are on GitHub and NPM, and MCP is already supported in clients such as Claude […]
How to instruct Suno v5 with lyrics: a professional guide (with the latest updates)
Suno’s v5 release represents a major inflection point for AI-driven music creation: higher fidelity, longer-form structure, noticeably clearer instrumentation, and a tighter integration with Suno Studio — the company’s new generative-audio workstation.
How to Use Kimi K2 Thinking API— a practical guide
Kimi K2 Thinking is the newest agentic reasoning variant in the Kimi K2 family: a large, mixture-of-experts (MoE) model tuned to do sustained, step-by-step reasoning and to call external tools reliably across long multi-step workflows.In this guide I pull together the latest public information, explains what Kimi K2 Thinking is, how it compares with contemporary […]
How to Use CometAPI?
CometAPI is a commercial API-aggregation platform that gives developers unified, OpenAI-style REST access to hundreds of AI models from multiple vendors — text LLMs, image/video generators, embeddings, and more — through a single, consistent interface. Instead of wiring separate SDKs or bespoke endpoints for OpenAI, Anthropic, Google, Meta, or smaller specialized model providers, CometAPI lets […]
Can Sora 2 generate NSFW content? How can we try it?
In the rapidly evolving landscape of artificial intelligence, OpenAI’s release of Sora 2 on September 30, 2025, marked a significant milestone in video generation technology. This advanced model, building on its predecessor, offers unprecedented realism, physical accuracy, and controllability, allowing users to create high-quality videos from text prompts, reference images, or videos. However, alongside these […]
How to Use Sora 2 Without Watermarks—A Complele Guide
OpenAI’s Sora 2 — its latest video-and-audio generative model — arrived this fall as a major step forward in photorealistic video generation and synchronized audio. From day one the product architecture has included visible watermarks plus embedded provenance metadata intended to signal “this was AI-generated.” After many attempts, I finally found a reliable method to […]
How to Run GPT-5-Codex with Cursor AI?
Lately,OpenAI has launched a specialized version—GPT‑5‑Codex—specifically tuned for software engineering workflows via its Codex brand. Meanwhile, coding-IDE provider Cursor AI has integrated GPT-5 and GPT-5-Codex to enhance developer experience. OpenAI’s GPT-5-Codex and Cursor’s GPT-5 support let developers combine a specialized coding model with an IDE-centric AI workflow—what GPT-5 Codex is, how to connect it to […]
How to access and use Minimax M2 API
MiniMax M2, a new generation large language model optimized for agentic workflows and end-to-end coding. MiniMax publicly released MiniMax-M2 and published weights on Hugging Face; it’s an MoE (sparse) model with a very large total parameter budget but a much smaller active set per token, and it supports very large contexts (200k+ tokens). The Minimax […]










